heemod (version 0.6.0)

eval_model: Evaluate Markov Model

Description

Given an unevaluated Markov Model, an initial number of individual and a number of cycle to compute, returns the evaluated version of the objects and the count of individual per state per model cycle.

Usage

eval_model(model, parameters, cycles, init, method, expand_limit)

Arguments

model

An uneval_model object.

parameters

Optional. An object generated by define_parameters.

cycles

positive integer. Number of Markov Cycles to compute.

init

numeric vector, same length as number of model states. Number of individuals in each model state at the beginning.

method

Counting method.

expand_limit

A named vector of state expansion limits.

Value

An eval_model object (actually a list of evaluated parameters, matrix, states and cycles counts).

Details

init need not be integer. E.g. specifying a vector of type c(A = 1, B = 0, C = 0, ...) returns the probabilities for an individual starting in state A to be in each state, per cycle.

Examples

param <- define_parameters(
  a = markov_cycle + 1 * 2
)

mat <- define_transition(
  1-1/a, 1/a,
  .1,    .9
)

mod <- define_strategy(
  transition = mat,
  A = define_state(cost = 10),
  B = define_state(cost = 2)
)

heemod:::eval_model(
  mod,
  param,
  init = c(10, 5),
  cycles = 5,
  method = "end"
)